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LG_CC_FastSV6.c
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//------------------------------------------------------------------------------
// LG_CC_FastSV6: connected components
//------------------------------------------------------------------------------
// LAGraph, (c) 2019-2022 by The LAGraph Contributors, All Rights Reserved.
// SPDX-License-Identifier: BSD-2-Clause
//
// For additional details (including references to third party source code and
// other files) see the LICENSE file or contact [email protected]. See
// Contributors.txt for a full list of contributors. Created, in part, with
// funding and support from the U.S. Government (see Acknowledgments.txt file).
// DM22-0790
// Contributed by Yongzhe Zhang, modified by Timothy A. Davis, Texas A&M
// University
//------------------------------------------------------------------------------
// This is an Advanced algorithm (G->is_symmetric_structure must be known),
// but it is not user-callable (see LAGr_ConnectedComponents instead).
// Code is based on the algorithm described in the following paper:
// Zhang, Azad, Hu. FastSV: A Distributed-Memory Connected Component
// Algorithm with Fast Convergence (SIAM PP20)
// A subsequent update to the algorithm is here (which might not be reflected
// in this code):
// Yongzhe Zhang, Ariful Azad, Aydin Buluc: Parallel algorithms for finding
// connected components using linear algebra. J. Parallel Distributed Comput.
// 144: 14-27 (2020).
// Modified by Tim Davis, Texas A&M University: revised Reduce_assign to use
// purely GrB* and GxB* methods and the matrix C. Added warmup phase. Changed
// to use GxB pack/unpack instead of GxB import/export. Converted to use the
// LAGraph_Graph object. Exploiting iso status for the temporary matrices
// C and T.
// The input graph G must be undirected, or directed and with an adjacency
// matrix that has a symmetric structure. Self-edges (diagonal entries) are
// OK, and are ignored. The values and type of A are ignored; just its
// structure is accessed.
// NOTE: This function must not be called by multiple user threads at the same
// time on the same graph G, since it unpacks G->A and then packs it back when
// done. G->A is unchanged when the function returns, but during execution
// G->A is empty. This will be fixed once the todos are finished below, and
// G->A will then become a truly read-only object (assuming GrB_wait (G->A)
// has been done first).
#define LG_FREE_ALL ;
#include "LG_internal.h"
#if LAGRAPH_SUITESPARSE
//==============================================================================
// fastsv: find the components of a graph
//==============================================================================
static inline GrB_Info fastsv
(
GrB_Matrix A, // adjacency matrix, G->A or a subset of G->A
GrB_Vector parent, // parent vector
GrB_Vector mngp, // min neighbor grandparent
GrB_Vector *gp, // grandparent
GrB_Vector *gp_new, // new grandparent (swapped with gp)
GrB_Vector t, // workspace
GrB_BinaryOp eq, // GrB_EQ_(integer type)
GrB_BinaryOp min, // GrB_MIN_(integer type)
GrB_Semiring min_2nd, // GrB_MIN_SECOND_(integer type)
GrB_Matrix C, // C(i,j) present if i = Px (j)
GrB_Index **Cp, // 0:n, size n+1
GrB_Index **Px, // Px: non-opaque copy of parent vector, size n
void **Cx, // size 1, contents not accessed
char *msg
)
{
GrB_Index n ;
GRB_TRY (GrB_Vector_size (&n, parent)) ;
GrB_Index Cp_size = (n+1) * sizeof (GrB_Index) ;
GrB_Index Ci_size = n * sizeof (GrB_Index) ;
GrB_Index Cx_size = sizeof (bool) ;
bool iso = true, jumbled = false, done = false ;
while (true)
{
//----------------------------------------------------------------------
// hooking & shortcutting
//----------------------------------------------------------------------
// mngp = min (mngp, A*gp) using the MIN_SECOND semiring
GRB_TRY (GrB_mxv (mngp, NULL, min, min_2nd, A, *gp, NULL)) ;
//----------------------------------------------------------------------
// parent = min (parent, C*mngp) where C(i,j) is present if i=Px(j)
//----------------------------------------------------------------------
// Reduce_assign: The Px array of size n is the non-opaque copy of the
// parent vector, where i = Px [j] if the parent of node j is node i.
// It can thus have duplicates. The vectors parent and mngp are full
// (all entries present). This function computes the following, which
// is done explicitly in the Reduce_assign function in LG_CC_Boruvka:
//
// for (j = 0 ; j < n ; j++)
// {
// uint64_t i = Px [j] ;
// parent [i] = min (parent [i], mngp [j]) ;
// }
//
// If C(i,j) is present where i == Px [j], then this can be written as:
//
// parent = min (parent, C*mngp)
//
// when using the min_2nd semiring. This can be done efficiently
// because C can be constructed in O(1) time and O(1) additional space
// (not counting the prior Cp, Px, and Cx arrays), when using the
// SuiteSparse pack/unpack move constructors. The min_2nd semiring
// ignores the values of C and operates only on the structure, so its
// values are not relevant. Cx is thus chosen as a GrB_BOOL array of
// size 1 where Cx [0] = false, so the all entries present in C are
// equal to false.
// pack Cp, Px, and Cx into a matrix C with C(i,j) present if Px(j) == i
GRB_TRY (GxB_Matrix_pack_CSC (C, Cp, /* Px is Ci: */ Px, Cx,
Cp_size, Ci_size, Cx_size, iso, jumbled, NULL)) ;
// parent = min (parent, C*mngp) using the MIN_SECOND semiring
GRB_TRY (GrB_mxv (parent, NULL, min, min_2nd, C, mngp, NULL)) ;
// unpack the contents of C, to make Px available to this method again.
GRB_TRY (GxB_Matrix_unpack_CSC (C, Cp, Px, Cx,
&Cp_size, &Ci_size, &Cx_size, &iso, &jumbled, NULL)) ;
//----------------------------------------------------------------------
// parent = min (parent, mngp, gp)
//----------------------------------------------------------------------
GRB_TRY (GrB_eWiseAdd (parent, NULL, min, min, mngp, *gp, NULL)) ;
//----------------------------------------------------------------------
// calculate grandparent: gp_new = parent (parent), and extract Px
//----------------------------------------------------------------------
// if parent is uint32, GraphBLAS typecasts to uint64 for Px.
GRB_TRY (GrB_Vector_extractTuples (NULL, *Px, &n, parent)) ;
GRB_TRY (GrB_extract (*gp_new, NULL, NULL, parent, *Px, n, NULL)) ;
//----------------------------------------------------------------------
// terminate if gp and gp_new are the same
//----------------------------------------------------------------------
GRB_TRY (GrB_eWiseMult (t, NULL, NULL, eq, *gp_new, *gp, NULL)) ;
GRB_TRY (GrB_reduce (&done, NULL, GrB_LAND_MONOID_BOOL, t, NULL)) ;
if (done) break ;
// swap gp and gp_new
GrB_Vector s = (*gp) ; (*gp) = (*gp_new) ; (*gp_new) = s ;
}
return (GrB_SUCCESS) ;
}
//==============================================================================
// LG_CC_FastSV6
//==============================================================================
// The output of LG_CC_FastSV* is a vector component, where component(i)=r if
// node i is in the connected compononent whose representative is node r. If r
// is a representative, then component(r)=r. The number of connected
// components in the graph G is the number of representatives.
#undef LG_FREE_WORK
#define LG_FREE_WORK \
{ \
LAGraph_Free ((void **) &Tp, NULL) ; \
LAGraph_Free ((void **) &Tj, NULL) ; \
LAGraph_Free ((void **) &Tx, NULL) ; \
LAGraph_Free ((void **) &Cp, NULL) ; \
LAGraph_Free ((void **) &Px, NULL) ; \
LAGraph_Free ((void **) &Cx, NULL) ; \
LAGraph_Free ((void **) &ht_key, NULL) ; \
LAGraph_Free ((void **) &ht_count, NULL) ; \
LAGraph_Free ((void **) &count, NULL) ; \
LAGraph_Free ((void **) &range, NULL) ; \
GrB_free (&C) ; \
GrB_free (&T) ; \
GrB_free (&t) ; \
GrB_free (&y) ; \
GrB_free (&gp) ; \
GrB_free (&mngp) ; \
GrB_free (&gp_new) ; \
}
#undef LG_FREE_ALL
#define LG_FREE_ALL \
{ \
LG_FREE_WORK ; \
GrB_free (&parent) ; \
}
#endif
int LG_CC_FastSV6 // SuiteSparse:GraphBLAS method, with GxB extensions
(
// output:
GrB_Vector *component, // component(i)=r if node is in the component r
// input:
LAGraph_Graph G, // input graph (modified then restored)
char *msg
)
{
#if !LAGRAPH_SUITESPARSE
LG_ASSERT (false, GrB_NOT_IMPLEMENTED) ;
#else
//--------------------------------------------------------------------------
// check inputs
//--------------------------------------------------------------------------
LG_CLEAR_MSG ;
int64_t *range = NULL ;
GrB_Index n, nvals, Cp_size = 0, *ht_key = NULL, *Px = NULL, *Cp = NULL,
*count = NULL, *Tp = NULL, *Tj = NULL ;
GrB_Vector parent = NULL, gp_new = NULL, mngp = NULL, gp = NULL, t = NULL,
y = NULL ;
GrB_Matrix T = NULL, C = NULL ;
void *Tx = NULL, *Cx = NULL ;
int *ht_count = NULL ;
LG_TRY (LAGraph_CheckGraph (G, msg)) ;
LG_ASSERT (component != NULL, GrB_NULL_POINTER) ;
LG_ASSERT_MSG ((G->kind == LAGraph_ADJACENCY_UNDIRECTED ||
(G->kind == LAGraph_ADJACENCY_DIRECTED &&
G->is_symmetric_structure == LAGraph_TRUE)),
LAGRAPH_SYMMETRIC_STRUCTURE_REQUIRED,
"G->A must be known to be symmetric") ;
//--------------------------------------------------------------------------
// initializations
//--------------------------------------------------------------------------
GrB_Matrix A = G->A ;
GRB_TRY (GrB_Matrix_nrows (&n, A)) ;
GRB_TRY (GrB_Matrix_nvals (&nvals, A)) ;
// determine the integer type, operators, and semirings to use
GrB_Type Uint, Int ;
GrB_IndexUnaryOp ramp ;
GrB_Semiring min_2nd, min_2ndi ;
GrB_BinaryOp min, eq, imin ;
#ifdef COVERAGE
// Just for test coverage, use 64-bit ints for n > 100. Do not use this
// rule in production!
#define NBIG 100
#else
// For production use: 64-bit integers if n > 2^31
#define NBIG INT32_MAX
#endif
if (n > NBIG)
{
// use 64-bit integers throughout
Uint = GrB_UINT64 ;
Int = GrB_INT64 ;
ramp = GrB_ROWINDEX_INT64 ;
min = GrB_MIN_UINT64 ;
imin = GrB_MIN_INT64 ;
eq = GrB_EQ_UINT64 ;
min_2nd = GrB_MIN_SECOND_SEMIRING_UINT64 ;
min_2ndi = GxB_MIN_SECONDI_INT64 ;
}
else
{
// use 32-bit integers, except for Px and for constructing the matrix C
Uint = GrB_UINT32 ;
Int = GrB_INT32 ;
ramp = GrB_ROWINDEX_INT32 ;
min = GrB_MIN_UINT32 ;
imin = GrB_MIN_INT32 ;
eq = GrB_EQ_UINT32 ;
min_2nd = GrB_MIN_SECOND_SEMIRING_UINT32 ;
min_2ndi = GxB_MIN_SECONDI_INT32 ;
}
// FASTSV_SAMPLES: number of samples to take from each row A(i,:).
// Sampling is used if the average degree is > 8 and if n > 1024.
#define FASTSV_SAMPLES 4
bool sampling = (nvals > n * FASTSV_SAMPLES * 2 && n > 1024) ;
// [ todo: nthreads will not be needed once GxB_select with a GxB_RankUnaryOp
// and a new GxB_extract are added to SuiteSparse:GraphBLAS.
// determine # of threads to use
int nthreads, nthreads_outer, nthreads_inner ;
LG_TRY (LAGraph_GetNumThreads (&nthreads_outer, &nthreads_inner, msg)) ;
nthreads = nthreads_outer * nthreads_inner ;
nthreads = LAGRAPH_MIN (nthreads, n / 16) ;
nthreads = LAGRAPH_MAX (nthreads, 1) ;
// ]
LG_TRY (LAGraph_Calloc ((void **) &Cx, 1, sizeof (bool), msg)) ;
LG_TRY (LAGraph_Malloc ((void **) &Px, n, sizeof (GrB_Index), msg)) ;
// create Cp = 0:n (always 64-bit) and the empty C matrix
GRB_TRY (GrB_Matrix_new (&C, GrB_BOOL, n, n)) ;
GRB_TRY (GrB_Vector_new (&t, GrB_INT64, n+1)) ;
GRB_TRY (GrB_assign (t, NULL, NULL, 0, GrB_ALL, n+1, NULL)) ;
GRB_TRY (GrB_apply (t, NULL, NULL, GrB_ROWINDEX_INT64, t, 0, NULL)) ;
GRB_TRY (GxB_Vector_unpack_Full (t, (void **) &Cp, &Cp_size, NULL, NULL)) ;
GRB_TRY (GrB_free (&t)) ;
//--------------------------------------------------------------------------
// warmup: parent = min (0:n-1, A*1) using the MIN_SECONDI semiring
//--------------------------------------------------------------------------
// y (i) = min (i, j) for all entries A(i,j). This warmup phase takes only
// O(n) time, because of how the MIN_SECONDI semiring is implemented in
// SuiteSparse:GraphBLAS. A is held by row, and the first entry in A(i,:)
// is the minimum index j, so only the first entry in A(i,:) needs to be
// considered for each row i.
GRB_TRY (GrB_Vector_new (&t, Int, n)) ;
GRB_TRY (GrB_Vector_new (&y, Int, n)) ;
GRB_TRY (GrB_assign (t, NULL, NULL, 0, GrB_ALL, n, NULL)) ;
GRB_TRY (GrB_assign (y, NULL, NULL, 0, GrB_ALL, n, NULL)) ;
GRB_TRY (GrB_apply (y, NULL, NULL, ramp, y, 0, NULL)) ;
GRB_TRY (GrB_mxv (y, NULL, imin, min_2ndi, A, t, NULL)) ;
GRB_TRY (GrB_free (&t)) ;
// The typecast from Int to Uint is required because the ROWINDEX operator
// and MIN_SECONDI do not work in the UINT* domains, as built-in operators.
// parent = (Uint) y
GRB_TRY (GrB_Vector_new (&parent, Uint, n)) ;
GRB_TRY (GrB_assign (parent, NULL, NULL, y, GrB_ALL, n, NULL)) ;
GRB_TRY (GrB_free (&y)) ;
// copy parent into gp, mngp, and Px. Px is a non-opaque 64-bit copy of the
// parent GrB_Vector. The Px array is always of type GrB_Index since it
// must be used as the input array for extractTuples and as Ci for pack_CSR.
// If parent is uint32, GraphBLAS typecasts it to the uint64 Px array.
GRB_TRY (GrB_Vector_extractTuples (NULL, Px, &n, parent)) ;
GRB_TRY (GrB_Vector_dup (&gp, parent)) ;
GRB_TRY (GrB_Vector_dup (&mngp, parent)) ;
GRB_TRY (GrB_Vector_new (&gp_new, Uint, n)) ;
GRB_TRY (GrB_Vector_new (&t, GrB_BOOL, n)) ;
//--------------------------------------------------------------------------
// sample phase
//--------------------------------------------------------------------------
if (sampling)
{
// [ todo: GxB_select, using a new operator: GxB_RankUnaryOp, will do all this,
// with GxB_Matrix_select_RankOp_Scalar with operator GxB_LEASTRANK and a
// GrB_Scalar input equal to FASTSV_SAMPLES. Built-in operators will be,
// (where y is INT64):
//
// GxB_LEASTRANK (aij, i, j, k, d, y): select if aij has rank k <= y
// GxB_NLEASTRANK: select if aij has rank k > y
// GxB_GREATESTRANK (...) select if aij has rank k >= (d-y) where
// d = # of entries in A(i,:).
// GxB_NGREATESTRANK (...): select if aij has rank k < (d-y)
// and perhaps other operators such as:
// GxB_LEASTRELRANK (...): select aij if rank k <= y*d where y is double
// GxB_GREATESTRELRANK (...): select aij rank k > y*d where y is double
//
// By default, the rank of aij is its relative position as the kth entry in its
// row (from "left" to "right"). If a new GxB setting in the descriptor is
// set, then k is the relative position of aij as the kth entry in its column.
// The default would be that the rank is the position of aij in its row A(i,:).
// Other:
// give me 3 random items from the row (y = 3)
// give me the 4 biggest *values* in each row (y = 4)
// mxv:
// C = A*diag(D)
//----------------------------------------------------------------------
// unpack A in CSR format
//----------------------------------------------------------------------
void *Ax ;
GrB_Index *Ap, *Aj, Ap_size, Aj_size, Ax_size ;
bool A_jumbled, A_iso ;
GRB_TRY (GxB_Matrix_unpack_CSR (A, &Ap, &Aj, &Ax,
&Ap_size, &Aj_size, &Ax_size, &A_iso, &A_jumbled, NULL)) ;
//----------------------------------------------------------------------
// allocate workspace, including space to construct T
//----------------------------------------------------------------------
GrB_Index Tp_size = (n+1) * sizeof (GrB_Index) ;
GrB_Index Tj_size = nvals * sizeof (GrB_Index) ;
GrB_Index Tx_size = sizeof (bool) ;
LG_TRY (LAGraph_Malloc ((void **) &Tp, n+1, sizeof (GrB_Index), msg)) ;
LG_TRY (LAGraph_Malloc ((void **) &Tj, nvals, sizeof (GrB_Index),
msg)) ;
LG_TRY (LAGraph_Calloc ((void **) &Tx, 1, sizeof (bool), msg)) ;
LG_TRY (LAGraph_Malloc ((void **) &range, nthreads + 1,
sizeof (int64_t), msg)) ;
LG_TRY (LAGraph_Calloc ((void **) &count, nthreads + 1,
sizeof (GrB_Index), msg)) ;
//----------------------------------------------------------------------
// define parallel tasks to construct T
//----------------------------------------------------------------------
// thread tid works on rows range[tid]:range[tid+1]-1 of A and T
for (int tid = 0 ; tid <= nthreads ; tid++)
{
range [tid] = (n * tid + nthreads - 1) / nthreads ;
}
//----------------------------------------------------------------------
// determine the number entries to be constructed in T for each thread
//----------------------------------------------------------------------
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (int tid = 0 ; tid < nthreads ; tid++)
{
for (int64_t i = range [tid] ; i < range [tid+1] ; i++)
{
int64_t deg = Ap [i + 1] - Ap [i] ;
count [tid + 1] += LAGRAPH_MIN (FASTSV_SAMPLES, deg) ;
}
}
//----------------------------------------------------------------------
// count = cumsum (count)
//----------------------------------------------------------------------
for (int tid = 0 ; tid < nthreads ; tid++)
{
count [tid + 1] += count [tid] ;
}
//----------------------------------------------------------------------
// construct T
//----------------------------------------------------------------------
// T (i,:) consists of the first FASTSV_SAMPLES of A (i,:).
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (int tid = 0 ; tid < nthreads ; tid++)
{
GrB_Index p = count [tid] ;
Tp [range [tid]] = p ;
for (int64_t i = range [tid] ; i < range [tid+1] ; i++)
{
// construct T (i,:) from the first entries in A (i,:)
for (int64_t j = 0 ;
j < FASTSV_SAMPLES && Ap [i] + j < Ap [i + 1] ; j++)
{
Tj [p++] = Aj [Ap [i] + j] ;
}
Tp [i + 1] = p ;
}
}
//----------------------------------------------------------------------
// import the result into the GrB_Matrix T
//----------------------------------------------------------------------
GRB_TRY (GrB_Matrix_new (&T, GrB_BOOL, n, n)) ;
GRB_TRY (GxB_Matrix_pack_CSR (T, &Tp, &Tj, &Tx, Tp_size, Tj_size,
Tx_size, /* T is iso: */ true, A_jumbled, NULL)) ;
// ] todo: the above will all be done as a single call to GxB_select.
//----------------------------------------------------------------------
// find the connected components of T
//----------------------------------------------------------------------
GRB_TRY (fastsv (T, parent, mngp, &gp, &gp_new, t, eq, min, min_2nd,
C, &Cp, &Px, &Cx, msg)) ;
//----------------------------------------------------------------------
// use sampling to estimate the largest connected component in T
//----------------------------------------------------------------------
// The sampling below computes an estimate of the mode of the parent
// vector, the contents of which are currently in the non-opaque Px
// array.
// hash table size must be a power of 2
#define HASH_SIZE 1024
// number of samples to insert into the hash table
#define HASH_SAMPLES 864
#define HASH(x) (((x << 4) + x) & (HASH_SIZE-1))
#define NEXT(x) ((x + 23) & (HASH_SIZE-1))
// allocate and initialize the hash table
LG_TRY (LAGraph_Malloc ((void **) &ht_key, HASH_SIZE,
sizeof (GrB_Index), msg)) ;
LG_TRY (LAGraph_Calloc ((void **) &ht_count, HASH_SIZE,
sizeof (int), msg)) ;
for (int k = 0 ; k < HASH_SIZE ; k++)
{
ht_key [k] = UINT64_MAX ;
}
// hash the samples and find the most frequent entry
uint64_t seed = n ; // random number seed
int64_t key = -1 ; // most frequent entry
int max_count = 0 ; // frequency of most frequent entry
for (int64_t k = 0 ; k < HASH_SAMPLES ; k++)
{
// select an entry from Px at random
GrB_Index x = Px [LG_Random60 (&seed) % n] ;
// find x in the hash table
GrB_Index h = HASH (x) ;
while (ht_key [h] != UINT64_MAX && ht_key [h] != x) h = NEXT (h) ;
// add x to the hash table
ht_key [h] = x ;
ht_count [h]++ ;
// keep track of the most frequent value
if (ht_count [h] > max_count)
{
key = ht_key [h] ;
max_count = ht_count [h] ;
}
}
//----------------------------------------------------------------------
// compact the largest connected component in A
//----------------------------------------------------------------------
// Construct a new matrix T from the input matrix A (the matrix A is
// not changed). The key node is the representative of the (estimated)
// largest component. T is constructed as a copy of A, except:
// (1) all edges A(i,:) for nodes i in the key component deleted, and
// (2) for nodes i not in the key component, A(i,j) is deleted if
// j is in the key component.
// (3) If A(i,:) has any deletions from (2), T(i,key) is added to T.
// [ todo: replace this with GxB_extract with GrB_Vector index arrays.
// See https://github.com/GraphBLAS/graphblas-api-c/issues/67 .
// This method will not insert the new entries T(i,key) for rows i that have
// had entries deleted. That can be done with GrB_assign, with an n-by-1 mask
// M computed from the before-and-after row degrees of A and T:
// M = (parent != key) && (out_degree(T) < out_degree(A))
// J [0] = key.
// GxB_Matrix_subassign_BOOL (T, M, NULL, true, GrB_ALL, n, J, 1, NULL)
// or with
// GrB_Col_assign (T, M, NULL, t, GrB_ALL, j, NULL) with an all-true
// vector t.
// unpack T to reuse the space (all content is overwritten below)
bool T_jumbled, T_iso ;
GRB_TRY (GxB_Matrix_unpack_CSR (T, &Tp, &Tj, &Tx, &Tp_size, &Tj_size,
&Tx_size, &T_iso, &T_jumbled, NULL)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (int tid = 0 ; tid < nthreads ; tid++)
{
GrB_Index p = Ap [range [tid]] ;
// thread tid scans A (range [tid]:range [tid+1]-1,:),
// and constructs T(i,:) for all rows in this range.
for (int64_t i = range [tid] ; i < range [tid+1] ; i++)
{
int64_t pi = Px [i] ; // pi = parent (i)
Tp [i] = p ; // start the construction of T(i,:)
// T(i,:) is empty if pi == key
if (pi != key)
{
// scan A(i,:)
for (GrB_Index pS = Ap [i] ; pS < Ap [i+1] ; pS++)
{
// get A(i,j)
int64_t j = Aj [pS] ;
if (Px [j] != key)
{
// add the entry T(i,j) to T, but skip it if
// Px [j] is equal to key
Tj [p++] = j ;
}
}
// Add the entry T(i,key) if there is room for it in T(i,:);
// if and only if node i is adjacent to a node j in the
// largest component. The only way there can be space if
// at least one T(i,j) appears with Px [j] equal to the key
// (that is, node j is in the largest connected component,
// key == Px [j]. One of these j's can then be replaced
// with the key. If node i is not adjacent to any node in
// the largest component, then there is no space in T(i,:)
// and no new edge to the largest component is added.
if (p - Tp [i] < Ap [i+1] - Ap [i])
{
Tj [p++] = key ;
}
}
}
// count the number of entries inserted into T by this thread
count [tid] = p - Tp [range [tid]] ;
}
// Compact empty space out of Tj not filled in from the above phase.
nvals = 0 ;
for (int tid = 0 ; tid < nthreads ; tid++)
{
memcpy (Tj + nvals, Tj + Tp [range [tid]],
sizeof (GrB_Index) * count [tid]) ;
nvals += count [tid] ;
count [tid] = nvals - count [tid] ;
}
// Compact empty space out of Tp
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (int tid = 0 ; tid < nthreads ; tid++)
{
GrB_Index p = Tp [range [tid]] ;
for (int64_t i = range [tid] ; i < range [tid+1] ; i++)
{
Tp [i] -= p - count [tid] ;
}
}
// finalize T
Tp [n] = nvals ;
// pack T for the final phase
GRB_TRY (GxB_Matrix_pack_CSR (T, &Tp, &Tj, &Tx, Tp_size, Tj_size,
Tx_size, T_iso, /* T is now jumbled */ true, NULL)) ;
// pack A (unchanged since last unpack); this is the original G->A.
GRB_TRY (GxB_Matrix_pack_CSR (A, &Ap, &Aj, &Ax, Ap_size, Aj_size,
Ax_size, A_iso, A_jumbled, NULL)) ;
// ]. The unpack/pack of A into Ap, Aj, Ax will not be needed, and G->A
// will become truly a read-only matrix.
// final phase uses the pruned matrix T
A = T ;
}
//--------------------------------------------------------------------------
// check for quick return
//--------------------------------------------------------------------------
// The sample phase may have already found that G->A has a single component,
// in which case the matrix A is now empty.
if (nvals == 0)
{
(*component) = parent ;
LG_FREE_WORK ;
return (GrB_SUCCESS) ;
}
//--------------------------------------------------------------------------
// final phase
//--------------------------------------------------------------------------
GRB_TRY (fastsv (A, parent, mngp, &gp, &gp_new, t, eq, min, min_2nd,
C, &Cp, &Px, &Cx, msg)) ;
//--------------------------------------------------------------------------
// free workspace and return result
//--------------------------------------------------------------------------
(*component) = parent ;
LG_FREE_WORK ;
return (GrB_SUCCESS) ;
#endif
}